code: def parse_weka_distribution(self, s):
      probs = [float(v) for v in re.split("[*,]+", s) if v.strip()]
      probs = dict(zip(self._formatter.labels(), probs))
      return DictionaryProbDist(probs)
  
imports: import os
  import re
  import subprocess
  import tempfile
  import time
  import zipfile
  from sys import stdin
  from nltk.classify.api import ClassifierI
  from nltk.internals import config_java, java
  from nltk.probability import DictionaryProbDist
label_desc: Use image node_id 5 for calling the WekaClassifier obj's underlying member method code with example usage: obj.parse_weka_distribution(s) and returns: DictionaryProbDist